A Watermarking Scheme based on Knight’s Tour Algorithm for Medical Images

2019 ◽  
Vol 11 (12-SPECIAL ISSUE) ◽  
pp. 900-905
Author(s):  
G. Sulong ◽  
N.H. Ghazali ◽  
N. Ghazali ◽  
R. Romli ◽  
N.A.H. Zahri
Keyword(s):  
Medical Images ◽  
Watermarking Scheme ◽  
Knight’S Tour

A Discrete Wavelet Based Watermarking Scheme for Authentication of Medical Images

2019 ◽  
Vol 10 (4) ◽  
pp. 30-38
Author(s):  
Kaiser J. Giri ◽  
Rumaan Bashir ◽  
Javaid Iqbal Bhat
Keyword(s):  
Image Processing ◽  
Information Security ◽  
Considerable Increase ◽  
Medical Images ◽  
Health Centers ◽  
Discrete Wavelet ◽  
Security Requirement ◽  
Clinical Interpretation ◽  
Requirement Specifications ◽  
Watermarking Scheme

The growth and emergence of telemedicine has resulted into considerable increase in the transfer of medical images between various health centers over computer networks for various purposes, such as diagnosis, clinical interpretation, and archives. The security of these images is a serious concern since these images can be manipulated during their transmission over the network. Moreover, as the authentication of the medical images is required for various legal purposes; the information security requirement specifications specified by various legislative rules must be adhered by the concerned stakeholders. In this research, a discrete wavelet-based watermarking scheme has been proposed for the authentication of medical images. The experimental results obtained have shown that the proposed scheme is a secure one and robust against various common image processing attacks.

scholarly journals A Novel Robust Reversible Watermarking Scheme for Protecting Authenticity and Integrity of Medical Images

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 76580-76598 ◽  
Author(s):  
Xiyao Liu ◽  
Jieting Lou ◽  
Hui Fang ◽  
Yan Chen ◽  
Pingbo Ouyang ◽  
...  
Keyword(s):  
Medical Images ◽  
Reversible Watermarking ◽  
Watermarking Scheme

A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images

2018 ◽  
Vol 33 (01) ◽  
pp. 1950001 ◽  
Author(s):  
Xin Zhong ◽  
Frank Y. Shih
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Saliency Detection ◽  
High Capacity ◽  
Detection Algorithm ◽  
Cross Sectional ◽  
Shape Decomposition ◽  
Image Fidelity ◽  
Embedded Image ◽  
Watermarking Scheme

We present a high-capacity reversible, fragile, and blind watermarking scheme for medical images in this paper. A bottom-up saliency detection algorithm is applied to automatically locate the multiple arbitrarily-shaped regions of interest (ROIs). The iterative square-production algorithm is developed to generate different sizes of squares for shape decomposition on the regions of noninterest (RONIs). This scheme of combining the frequency-domain watermarking and arbitrarily-shaped ROI methods can significantly increase the watermarking capacity, whereas the embedded image fidelity is preserved. Extensive experiments were carried out on the OASIS medical image dataset, which consists of a cross-sectional collection of 416 subjects, aged from 18 to 96 years old. The results show that the proposed scheme outperforms six existing state-of-the-art schemes in terms of watermarking capacity and embedded image fidelity.

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